TGS, a global provider of energy data and intelligence, today announced a new regional multi-client 2D seismic program offshore Bangladesh in partnership with SLB and Petrobangla.
The initial phase of the program will comprise a minimum program area of around 11,000 line kilometers of new multi-client seismic data acquisition and aims to provide consistent, high-resolution broadband seismic data on a regional scale to enhance the geological understanding of the prospective Bengal Fan. The new data will be an essential tool for acreage evaluation, supporting future license rounds under the soon-to-be-revised fiscal terms widely anticipated by industry.
The overall program plans to encompass around 32,000 line kilometers of multi-client seismic data covering most of offshore Bangladesh. The new data will be acquired using long offset and long record lengths to image the deeper sections, which historically have not been well-imaged. and also areas where seismic data had not previously been recorded. The seismic data will be processed through modern high-end broadband Pre-Stack Time and Depth migrated (PSTM/PSDM) workflows.
Kristian Johansen, CEO at TGS, commented, "This multi-phase seismic program will provide a much-needed regional framework for understanding the Bengal Fan, considered one of the most-extensive remaining unexplored frontier basins remaining in the world. Following the successful completion of our extensive East Coast India 2Dcubed reprocessing project, we continue to provide a seismic-fuelled boost across the Bay of Bengal to support offshore exploration in this region and augment license round decision-making."
The acquisition plans to commence early January 2023, with final processing deliverables anticipated in Q1 2024. Fast track results will be available for early acreage evaluation.
About TGS
TGS provides scientific data and intelligence to companies active in the energy sector. In addition to a global, extensive and diverse energy data library, TGS offers specialized services such as advanced processing and analytics alongside cloud-based data applications and solutions.